## Select {#openvino_docs_ops_condition_Select_1}
**Versioned name**: *Select-1*
**Category**: *Condition*
**Short description**: *Select* returns a tensor filled with the elements from the second or the third inputs, depending on the condition (the first input) value.
**Detailed description**
*Select* takes elements from `then` input tensor or the `else` input tensor based on a condition mask
provided in the first input `cond`. Before performing selection, input tensors `then` and `else` are broadcasted to each other if their shapes are different and `auto_broadcast` attributes is not `none`. Then the `cond` tensor is one-way broadcasted to the resulting shape of broadcasted `then` and `else`. Broadcasting is performed according to `auto_broadcast` value.
**Attributes**
* *auto_broadcast*
* **Description**: specifies rules used for auto-broadcasting of input tensors.
* **Range of values**:
* *none* - no auto-broadcasting is allowed, all input shapes must match
* *numpy* - numpy broadcasting rules, description is available in [Broadcast Rules For Elementwise Operations](../broadcast_rules.md)
* *pdpd* - PaddlePaddle-style implicit broadcasting, description is available in [Broadcast Rules For Elementwise Operations](../broadcast_rules.md)
* **Type**: `string`
* **Default value**: "numpy"
* **Required**: *no*
**Inputs**:
* **1**: `cond` - tensor of type *T_COND* and arbitrary shape with selection mask. **Required**.
* **2**: `then` - tensor of type *T* and arbitrary shape with elements to take where the corresponding element in `cond` is `true`. **Required**.
* **3**: `else` - tensor of type *T* and arbitrary shape with elements to take where the corresponding element in `cond` is `false`. **Required**.
**Outputs**:
* **1**: blended output tensor that is tailored from values of inputs tensors `then` and `else` based on `cond` and broadcasting rules. It has the same type of elements as `then` and `else`.
**Types**
* *T_COND*: `boolean` type.
* *T*: any supported numeric type.
**Example**
```xml
323232
```